Mehmed M. Kantardzic

Orcid: 0000-0002-6861-4434

Affiliations:
  • University of Louisville, Data Mining Lab, KY, USA


According to our database1, Mehmed M. Kantardzic authored at least 100 papers between 1990 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines.
IEEE Access, 2022

Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use?
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
A Weight Possibilistic Fuzzy C-Means Clustering Algorithm.
Sci. Program., 2021

Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification.
Intell. Decis. Technol., 2021

Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
No Free Lunch Theorem for concept drift detection in streaming data classification: A review.
WIREs Data Mining Knowl. Discov., 2020

Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

2019
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks.
Int. J. Data Sci. Anal., 2019

2018
A dynamic-adversarial mining approach to the security of machine learning.
WIREs Data Mining Knowl. Discov., 2018

When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium).
Ubiquity, 2018

Data driven exploratory attacks on black box classifiers in adversarial domains.
Neurocomputing, 2018

Handling adversarial concept drift in streaming data.
Expert Syst. Appl., 2018

Worker Filtering with Limited Supervision in Crowdsourcing Systems.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Detecting Different Types of Concept Drifts with Ensemble Framework.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
SOM-based partial labeling of imbalanced data stream.
Neurocomputing, 2017

On the reliable detection of concept drift from streaming unlabeled data.
Expert Syst. Appl., 2017

Evaluating Complex Task through Crowdsourcing: Multiple Views Approach.
CoRR, 2017

'Security Theater': On the Vulnerability of Classifiers to Exploratory Attacks.
Proceedings of the Intelligence and Security Informatics - 12th Pacific Asia Workshop, 2017

A partial labeling framework for multi-class imbalanced streaming data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Introduction to Streaming Data Analytics and Applications Minitrack.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
Editorial.
Trans. Mach. Learn. Data Min., 2016

A grid density based framework for classifying streaming data in the presence of concept drift.
J. Intell. Inf. Syst., 2016

A fuzzy-based machine learning model for robot prediction of link quality.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Smart Preprocessing Improves Data Stream Mining.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015
Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density.
Proceedings of the INNS Conference on Big Data 2015, 2015

Retail Store Segmentation for Target Marketing.
Proceedings of the Advances in Data Mining: Applications and Theoretical Aspects, 2015

2014
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

RLS-A reduced labeled samples approach for streaming imbalanced data with concept drift.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Solar irradiance forecasting by using wavelet based denoising.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
Flu Outbreak Detection Using Summarized Twitter Messages.
Proceedings of the Advances in Mass Data Analysis of Images and Signals in Medicine, 2013

Selecting samples for labeling in unbalanced streaming data environments.
Proceedings of the XXIV International Symposium on Information, 2013

2012
Duplicate detection in pay-per-click streams using temporal stateful Bloom filters.
Int. J. Data Anal. Tech. Strateg., 2012

Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data.
Proceedings of the Convergence and Hybrid Information Technology, 2012

Search Result Summaries Improved by Structure and Multimedia.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

An Efficient Method of Building an Ensemble of Classifiers in Streaming Data.
Proceedings of the Big Data Analytics, First International Conference, 2012

Multi-Tweet Summarization for Flu Outbreak Detection.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

2011
ReClose: web page summarization combining summary techniques.
Int. J. Web Inf. Syst., 2011

Submodular Optimization for Efficient Semi-supervised Support Vector Machines
CoRR, 2011

Cracking the Smart ClickBot.
Proceedings of the 13th IEEE International Symposium on Web Systems Evolution, 2011

Enhanced Visualization for Web-Based Summaries.
Proceedings of the First International Workshop on Searching and Integrating New Web Data Sources, 2011

Validation of Click Fraud Detection Models.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

New hierarchical model using SOM improves accuracy of classifiers for multiclass data sets.
Proceedings of the XXIII International Symposium on Information, 2011

2010
Click Fraud Prevention via multimodal evidence fusion by Dempster-Shafer theory.
Proceedings of the 2010 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, 2010

Building a New Classifier in an Ensemble Using Streaming Unlabeled Data.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines.
Proceedings of the 2010 International Conference on Internet Computing, 2010

2009
Fractal analysis of semantically distributed data.
Int. J. Gen. Syst., 2009

Local properties of RBF-SVM during training for incremental learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

How much Locality is Needed for Incremental RBF-SVM Learning?
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

The locality of RBF-SVM for incremental learning.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Hierarchical Clustering with CUDA/GPU.
Proceedings of the 22nd International Conference on Parallel and Distributed Computing and Communication Systems, 2009

2008
The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines.
Spatial Cogn. Comput., 2008

Distributed Monitoring of Frequent Items.
Trans. Mach. Learn. Data Min., 2008

A predictive handoff scheme for multi-hop heterogeneous wireless networks.
Proceedings of the Third International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2008), 2008

Incremental Learning Using Partly Labeled Data.
Proceedings of the ISCA 23rd International Conference on Computers and Their Applications, 2008

2007
Delayed Correlations in Inter-Domain Network Traffic
CoRR, 2007

Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach
CoRR, 2007

Personalized Previews of Alternative Routes in Virtual Environments.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

FIDS: Monitoring Frequent Items over Distributed Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks.
Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

Feature extraction using random matrix theory approach.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

An Approach for Incremental Semi-supervised SVM.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Mining Sequences in Distributed Sensors Data for Energy Production.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach.
Proceedings of the ISCA 20th International Conference on Computer Applications in Industry and Engineering, 2007

2006
User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks.
J. Parallel Distributed Comput., 2006

Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations.
IEEE Internet Comput., 2006

The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments.
Int. J. Hum. Comput. Stud., 2006

Preview of recommended routes in large-scale virtual environments.
Proceedings of the Proceedings VRCIA 2006 ACM International Conference on Virtual Reality Continuum and its Applications, 2006

Route Previews: Enhancing the Route Selection.
Proceedings of the IEEE Virtual Reality Conference, 2006

Clustering of Online Game Users Based on Their Trails Using Self-organizing Map.
Proceedings of the Entertainment Computing, 2006

Selection of Distributed Sensors for Multiple Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

Cost-Sensitive Analysis in Multiple Time Series Prediction.
Proceedings of the 2006 International Conference on Data Mining, 2006

Computer-aided item selection for the cycle counting procedure.
Proceedings of the ISCA 19th International Conference on Computer Applications in Industry and Engineering, 2006

2005
A Scalable Pricing Model for Bandwidth Allocation.
Electron. Commer. Res., 2005

Graph building as a mining activity: finding links in the small.
Proceedings of the 3rd international workshop on Link discovery, 2005

Link Analysis Tools for Intelligence and Counterterrorism.
Proceedings of the Intelligence and Security Informatics, 2005

Route Recommendations: Navigation Assistance in Complex Virtual Environments.
Proceedings of the 20th International Conference on Computers and Their Applications, 2005

CCFDP: Collaborative Click Fraud Detection and Prevention System.
Proceedings of the ISCA 18th International Conference on Computer Applications in Industry and Engineering, 2005

2004
The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Mobile data mining for radio resource management in wireless mobile networks.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

An extensible service oriented distributed data mining framework.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks.
Proceedings of the Advances in Data Mining, 2004

2003
Toward Autonomic Distributed Data Mining with Intelligent Web Services.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Efficient Implementation of Strong Negative Association Rules.
Proceedings of the 2003 International Conference on Machine Learning and Applications, 2003

2002
Bandwidth allocation in a dynamic environment using a variable pricing policy.
Proceedings of the Seventh IEEE Symposium on Computers and Communications (ISCC 2002), 2002

A Distributed Agent Architecture for Human Operations in Space.
Proceedings of the 11th Conference on Intelligent Systems: Emerging Technologies, 2002

2001
Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera.
Int. J. Comput. Their Appl., 2001

Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy.
Informatica (Slovenia), 2001

Data Mining Approach in a Selection of Laparoscopic Techniques.
Proceedings of the ISCA 10th International Conference on Intelligent Systems, 2001

2000
New diagnostic criteria for polycythemia rubra vera: Artificial neural network approach.
Proceedings of the ISCA 15th International Conference Computers and Their Applications, 2000

Artificial Neural Networks Approach in Diagnostics of Polycythemia Vera.
Proceedings of the ISCA 9th International Conference on Intelligent Systems, 2000

1999
Visualization of neural-network gaps based on error analysis.
IEEE Trans. Neural Networks, 1999

1997
Logic-Oriented Model Of Artificial Neural Networks.
Inf. Sci., 1997

1991
Temporal and Spatial Data and Default Assumptions in Dipsy-E Systems.
Proceedings of the Trends in Artificial Intelligence, 1991

1990
A Comprehensive Environment for Computer Aid in Technical Security System Design.
Proceedings of the International Conference on Database and Expert Systems Applications, 1990


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